跳到正文
cccskills
免费在 GitHub 公开

catch-report

Report how many problems the two brains found: mutual review (the other model checks the work, from the peer-review records) and self-check (an agent finds its own error in its own conversation, judged by that agent's own model), side by side. Use when the owner asks whether the second agent or the reviews are worth it, or wants the week's review results.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(4)

  • SKILL.md4.0 KB
  • scripts/catch-report27.5 KB
  • scripts/catch-report.t30.2 KB
  • scripts/selftest/run-selftest.sh1.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

catch-report

The product claim is two brains: one does the work, another checks it. sno catch-report puts numbers on that claim from records already on this machine. It changes nothing.

  • Mutual review is every review the peer-review skill recorded: a different model read the work and reported problems. sno catch-report run prints those numbers.
  • Self-check is an agent finding its own error inside one conversation. sno catch-report self reads the agents' own conversations (~/.claude/projects, ~/.codex/sessions), picks the moments where an agent reacted to a failing command or test, or admitted a mistake, and asks that agent's own model (claude judges claude conversations, codex judges codex conversations) whether the agent found the error itself or was told. It then prints the two side by side.

Prerequisites: bash 4+, GNU date, find and grep, and jq. self also needs the claude and/or codex command line, logged in.

Use

  1. To show the user what the two brains caught, run sno catch-report brief --since 7d (or 12h, 30m, 30d, or a date). It measures both and prints one page: a headline with the problems the second model caught and the moments in which the agents caught their own mistakes (kept apart, never added together), the second brain's numbers with its biggest catches quoted by title, the agents' own catches in their own words, and how to read the numbers. Tell the user first that the self-check part sends short excerpts of their conversations to their own claude or codex (100 by default, about four minutes, it costs tokens); --limit N changes that, and --agent claude or --agent codex narrows it. --agent cursor reads Cursor's conversations (~/.cursor/projects/*/agent-transcripts) instead and has cursor-agent judge them; Cursor transcripts hold no tool output, so only its spoken admissions count there, and no per-message times, so a Cursor conversation updated in the period counts with its whole history.
  2. Hand the page to the user as printed, headline first, in English: do not translate it or re-word it. Keep every number and the plausible range exactly as printed, keep the quotes, and keep the "How to read this" notes. Do not round up, do not add a claim the page does not make, and do not say the findings are "real problems" or whose work was wrong: the records hold no author and most findings are undecided. You may add one sentence on what stands out.
  3. When the page says the self-check could not be measured, say that; do not report a zero. The self-check count is an estimate from a sample when there are more moments than --limit, and only sees errors an agent said out loud within ten steps of a failure or in a known admission phrase (English and Chinese); quiet fixes are not seen.
  4. For the details behind a number: sno catch-report run prints the review records (reviews started, finished, refused and never finished; per reviewer model the high and medium findings and fix-now; verdicts; the five reviews with the most fix-now; findings the owner has ruled on), and sno catch-report self --list prints each self-check moment with the model's verdict. Both take --stats FILE and --findings FILE for records kept elsewhere. The records are ~/.local/state/codex-review-stats.jsonl and ~/.local/state/codex-reviews/findings.jsonl.
  5. To make the ruled column mean something, rule on findings with review-findings.sh set <id> accepted|rejected|superseded (the peer-review skill); this command never rules on anything.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Answer how long agent work will take, how much longer active work needs, or what clock time applies. Estimate full AI-agent wall time, measure active progress first, and get owner-facing times from `sno report-time`. Never estimate human-developer time.

中文简介正在准备中。当前显示原文说明。

sno-ai/sno-station-skills7432026年10月24日 更新

Prove that a reported run caused its intended real effect. Walk the executor path from entry to effect, capture one observable per hop, and report a result a no-op could not produce.

中文简介正在准备中。当前显示原文说明。

sno-ai/sno-station-skills7432026年10月24日 更新

Give the owner one page when they come back from sleep, a meeting or a long run: what got done, what is stuck, what waits for their answer, and what it cost in quota. Use when the owner asks what happened while they were away, wants a status page, or when you finish a long stretch of work and must report it.

中文简介正在准备中。当前显示原文说明。

sno-ai/sno-station-skills7432026年10月24日 更新

charter

免费

Write, revise or review a charter: the one document that tells an executor what to deliver, what is out of bounds, what the owner already decided, and how each success check will be proven. Use when work needs a written brief before someone else does it, or when asked to write, change or check a charter.

中文简介正在准备中。当前显示原文说明。

sno-ai/sno-station-skills7432026年10月24日 更新

Route production coding tasks from Claude Code to the user-level Codex Shell, TypeScript, Python, or Rust workflow through a direct `codex exec` run. Use for "codex-coder", "ask Codex to write code", "generate with Codex", language migrations, or mixed Shell/TypeScript/Python/Rust implementation.

中文简介正在准备中。当前显示原文说明。

sno-ai/sno-station-skills7432026年10月24日 更新

Route production coding tasks to the user-level Shell, TypeScript, Python, or Rust Codex workflow. Use for "codex-coder", "Codex write", "generate with Codex", language migrations, or mixed Shell/TypeScript/Python/Rust implementation when Codex should choose the correct language specialist automatically.

中文简介正在准备中。当前显示原文说明。

sno-ai/sno-station-skills7432026年10月24日 更新

查看 sno-ai 的全部技能

报告此技能的问题